Staff Engineer (Development Operations)
India
Why Lytx:
Lytx is looking for a highly skilled Staff DevOps Engineer to join our dynamic team. As a Staff DevOps Engineer, you will be pivotal in designing, implementing, and maintaining our continuous integration and deployment pipelines, infrastructure, and tools. You will also get the opportunity to act as a subject-matter guide on core AWS services, collaborating closely with cross-functional teams to ensure AWS standard methodologies, infrastructure as code (IaC), and cost optimizations are integrated early in the design process.
You’ll Get To:
- Evaluate and oversee the implementation of innovative technologies aimed at improving the efficiency, performance, and reliability of the Lytx Infrastructure.
- Engage with innovative technologies such as OpenShift, Kubernetes, MQTT, and Kafka.
- Implement new systems and frameworks to bolster a global IoT platform and elevate it to the next level.
- Develop and deliver innovative solutions that empower engineering teams.
- Develop and implement MLOps practices to improve the speed, efficiency, and quality of our AI/ML deployments.
- Design Data/Machine Learning pipelines to transform Data/Machine Learning features.
- Propel and execute enhancements in capacity, reliability, availability, monitoring, and performance of core and supporting systems.
- Fulfill other assigned duties.
What You Need:
- A bachelor's/master’s degree with a technical major or equivalent experience.
- 9+ years of experience in designing, building, and supporting Infrastructure Architecture, CI/CD, and production operations within a hybrid On-Premises/Cloud environment.
- Expertise in DevOps principles, practices, and technologies, including GitOps, Amazon Web Services (AWS), and Terraform, or other Infrastructure as Code (IaC) tools.
- Proficiency in building CI/CD pipelines, with preference given to experience with GitHub and ArgoCD.
- Proficiency in managing Kubernetes and various container and cloud-native technologies.
- Proven experience in security best practices, including identity and access management, encryption, and vulnerability assessments.
- Strong knowledge of containerization technologies such as OpenShift, Kubernetes, and Docker.
- Expertise in scripting/automation using tools like PowerShell, BASH, Python, Perl, Ansible, and Terraform.
- Provide coaching, mentoring, and training for new or less experienced team members.
- Knowledge of Systems Administration/System Engineering with Microsoft Windows/Linux.
- Familiarity with networking concepts such as routing, load balancing, DNS, content delivery, and domain trusts.
- Excellent documentation and interpersonal skills, with the ability to present technical content to management and engineering teams.
- Hands-on experience with AWS compute and storage services including EKS, ECS, Lambda, EC2, MSK, AMIs, Redshift, Kinesis, RDS, DynamoDB, ElastiCache, S3, and Glacier.
- Collaborate with engineering teams to enhance their productivity, ensure they operate on reliable and scalable systems, and advocate for best practices, including GitOps principles.
Preferred:
- AWS Advanced and Specialty level Certifications.
- Experience with ML and Data platforms, including developing and implementing MLOps practices and designing Data/Machine Learning pipelines.
Innovation Lives Here
You go all in no matter what you do, and so do we. At Lytx, we’re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that’s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.
Together, we help save lives on our roadways.
Find out how good it feels to be a part of an inclusive, collaborative team. We’re committed to delivering an environment where everyone feels valued, included and supported to do their best work and share their voices.
Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We’re committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture AWS CI/CD DevOps Docker DynamoDB EC2 ECS Engineering GitHub Kafka Kinesis Kubernetes Lambda Linux Machine Learning MLOps MQTT Perl Pipelines Python Redshift Security Terraform
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